bp_drag_new

遗传算法 图像分割挺好用的 希望有用 matlab(Genetic algorithm for image segmentation with the hope of good useful matlab)

说明：  是matlab中对bp理论的源代码 通过此代码 只需输入原始数据 通过计算可以得到 预期的输出结论(the cold for matlab)

说明：  一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(a MATLAB applications, a convenient! Use need to change for the M documents.)

可以实现快速傅里叶的计算，适用于matlab环境(Calculation can achieve fast Fourier for matlab environment)

全面、专业的介绍matlab中模块mulink模块的使用方法，列举的例题包含操作流程，非常实用。(Comprehensive, professional introduction matlab in Ostrava mulink modules to use, citing the examples include operating procedures, very practical.)

说明：  vb语言实现的卡尔曼滤波源程序 （没有测试，输出部分要配合相应的过程）(vb language Kalman filtering source (no test, the output corresponding to tie part of the process))

混沌保密通信SIMULINK建模模。自己作的很好的东西。 (Chaotic secure communication SIMULINK modeling mold. As a good thing.)

小波分析尺度函数，样条数据处理，梁的有限元分析(Wavelet scaling function5)

德国低干扰谱，以及公路C级路面的路面不平度的c++实现。一些相关的资料，便于初学者理解。(German low interference spectrum, as well as C-level road highway pavement roughness achieved. Some relevant information, easy for beginners to understand.)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)